Spatial working memory in young adolescents with different childhood trajectories of internalizing, conduct and hyperactivity/inattention problems.

child psychopathology conduct problems group-based trajectory modelling hyperactivity inattention internalizing problems spatial working memory

Journal

The British journal of educational psychology
ISSN: 2044-8279
Titre abrégé: Br J Educ Psychol
Pays: England
ID NLM: 0370636

Informations de publication

Date de publication:
Sep 2021
Historique:
revised: 23 09 2020
received: 29 06 2020
pubmed: 9 12 2020
medline: 26 11 2021
entrez: 8 12 2020
Statut: ppublish

Résumé

In children, internalizing and externalizing problems impact on learning. However, there is limited research on the specific impact of such problems on spatial working memory (SWM), strongly related to cognitive ability and children's learning. We explored distinct trajectories of internalizing problems and externalizing problems (conduct problems and hyperactivity/inattention) in a large general-population sample of children followed from age 3 to age 11 years. We then assessed their role in SWM performance at age 11 years. Data were drawn from the UK's Millennium Cohort Study. Our analytic sample was children with data on SWM at age 11 years (N = 12,589). There were two stages of data analysis. Trajectory group membership was firstly estimated by group-based trajectory modelling for internalizing problems, conduct problems, and hyperactivity/inattention at ages 3-11 years. Multiple regression then assessed the relationship between SWM at age 11 years and trajectory group membership after accounting for confounders. Trajectories of internalizing, conduct, and hyperactivity/inattention symptoms across ages 3 to 11 years were related to SWM at age 11 years, even after controlling for confounding variables. For each of the three symptom domains, poor SWM was most consistently found in children with chronically high levels of symptoms. In general, atypical patterns of internalizing problems, conduct problems, and hyperactivity/inattention in childhood were related to poorer SWM in early adolescence.

Sections du résumé

BACKGROUND BACKGROUND
In children, internalizing and externalizing problems impact on learning. However, there is limited research on the specific impact of such problems on spatial working memory (SWM), strongly related to cognitive ability and children's learning.
AIMS OBJECTIVE
We explored distinct trajectories of internalizing problems and externalizing problems (conduct problems and hyperactivity/inattention) in a large general-population sample of children followed from age 3 to age 11 years. We then assessed their role in SWM performance at age 11 years.
SAMPLE METHODS
Data were drawn from the UK's Millennium Cohort Study. Our analytic sample was children with data on SWM at age 11 years (N = 12,589).
METHODS METHODS
There were two stages of data analysis. Trajectory group membership was firstly estimated by group-based trajectory modelling for internalizing problems, conduct problems, and hyperactivity/inattention at ages 3-11 years. Multiple regression then assessed the relationship between SWM at age 11 years and trajectory group membership after accounting for confounders.
RESULTS RESULTS
Trajectories of internalizing, conduct, and hyperactivity/inattention symptoms across ages 3 to 11 years were related to SWM at age 11 years, even after controlling for confounding variables. For each of the three symptom domains, poor SWM was most consistently found in children with chronically high levels of symptoms.
CONCLUSIONS CONCLUSIONS
In general, atypical patterns of internalizing problems, conduct problems, and hyperactivity/inattention in childhood were related to poorer SWM in early adolescence.

Identifiants

pubmed: 33290577
doi: 10.1111/bjep.12395
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

827-849

Subventions

Organisme : Economic and Social Research Council
ID : ES/N007921/1

Informations de copyright

© 2020 The British Psychological Society.

Références

Aronen, E. T., Vuontela, V., Steenari, M.-R., Salmi, J., & Carlson, S. (2005). Working memory, psychiatric symptoms, and academic performance at school. Neurobiology of Learning and Memory, 83, 33-42. https://doi.org/10.1016/j.nlm.2004.06.010
Atkinson, M. (2015). Millennium cohort study interpreting the Cantab cognitive measures. London, UK: Centre for Longitudinal Studies.
Baddeley, A. D. (2017). Exploring working memory: Selected works of Alan Baddeley. New York, NY: Routledge.
Baddeley, A. D., & Lieberman, K. (1980). Spatial working memory. In A. D. Baddeley (Ed.), Exploring working memory: Selected works of Alan Baddeley. New York, NY: Routledge.
Blanken, L. M. E., White, T., Mous, S. E., Basten, M., Muetzel, R. L., Jaddoe, V. W. V., … Tiemeier, H. (2017). Cognitive functioning in children with internalising, externalising and dysregulation problems: A population-based study. European Child & Adolescent Psychiatry, 26(4), 445-456. https://doi.org/10.1007/s00787-016-0903-9
Blasiman, R. N., & Was, C. A. (2018). Why is working memory performance unstable? A review of 21 factors. Europe’s Journal of Psychology, 14(1), 188-231. https://doi.org/10.5964/ejop.v14i1.1472
Brocki, K. C., Nyberg, L., Thorell, L. B., & Bohlin, G. (2007). Early concurrent and longitudinal symptoms of adhd and odd: Relations to different types of inhibitory control and working memory. Journal of Child Psychology and Psychiatry, 48(10), 1033-1041. https://doi.org/10.1111/j.1469-7610.2007.01811.x
Capaldi, D. M., Pears, K. C., Kerr, D. C. R., Owen, L. D., & Kim, H. K. (2012). Growth in externalizing and internalizing problems in childhood: A prospective study of psychopathology across three generations. Child Development, 83(6), 1945-1959. https://doi.org/10.1111/j.1467-8624.2012.01821.x
Christopher, G., & MacDonald, J. (2005). The impact of clinical depression on working memory. Cognitive Neuropsychiatry, 10, 379-399. https://doi.org/10.1080/13546800444000128
CLS|Millennium Cohort Study. (n.d.). Retrieved 12 May 2020, from https://CLS.ucl.ac.uk/CLS.-studies/millennium-cohort-study/
Connelly, R., & Platt, L. (2014). Cohort profile: UK Millennium Cohort Study (MCS). International Journal of Epidemiology, 43, 1719-1725. https://doi.org/10.1093/ije/dyu001
Cummings, E. M., & Davies, P. T. (1994). Maternal depression and child development. Journal of Child Psychology and Psychiatry, 35(1), 73-122. https://doi.org/10.1111/j.1469-7610.1994.tb01133.x
Dekker, M. C., Ferdinand, R. F., Lang, N. D. J. V., Bongers, I. L., Ende, J. V. D., & Verhulst, F. C. (2007). Developmental trajectories of depressive symptoms from early childhood to late adolescence: Gender differences and adult outcome. Journal of Child Psychology and Psychiatry, 48, 657-666. https://doi.org/10.1111/j.1469-7610.2007.01742.x
Elliott, C., Smith, P., & McCullock, K. (1996). British Ability Scales Second Edition (BAS II). Administration and Scoring Manual. London, UK: Nelson.
Fanti, K. A. (2010). Trajectories of pure and co-occurring internalizing and externalizing problems from age 2 to age 12: Findings from the NICHD Study of Early Child Care. Developmental Psychology, 46, 1159-1175. https://doi.org/10.1037/a0020659
Ferrin, M., & Vance, A. (2012). Examination of neurological subtle signs in Adhd as a clinical tool for the diagnosis and their relationship to spatial working memory. Journal of Child Psychology and Psychiatry, 53, 390-400. https://doi.org/10.1111/j.1469-7610.2011.02496.x
Flouri, E., Papachristou, E., Midouhas, E., Joshi, H., Ploubidis, G. B., & Lewis, G. (2018). Early adolescent outcomes of joint developmental trajectories of problem behavior and Iq in childhood. European Child & Adolescent Psychiatry, 27, 1595-1605. https://doi.org/10.1007/s00787-018-1155-7
Frank, K. A. (2000). Impact of a confounding variable on a regression coefficient. Sociological Methods & Research, 29, 147-194. https://doi.org/10.1177/0049124100029002001
Goodman, R. (1997). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581-586. https://doi.org/10.1111/j.1469-7610.1997.tb01545.x
Griffith, S. F., Arnold, D. H., Rolon-Arroyo, B., & Harvey, E. A. (2019). Neuropsychological predictors of ODD symptom dimensions in young children. Journal of Clinical Child & Adolescent Psychology, 48(1), 80-92. https://doi.org/10.1080/15374416.2016.1266643
Gutman, L. M., Joshi, H., & Schoon, I. (2019). Developmental trajectories of conduct problems and cumulative risk from early childhood to adolescence. Journal of Youth and Adolescence, 48, 181-198. https://doi.org/10.1007/s10964-018-0971-x
Hansen, K., Johnson, J., Calderwood, L., Mostafa, T., Platt, L., Rosenberg, R., … The Millinnium Cohort Team. (2014). Millennium Cohort Study, a guide to the datasets (eighth edition) first, second, third, fourth and fifth surveys. London, UK: Centre for Longitudinal Studies.
Hickson, R. P., Annis, I. E., Killeya-Jones, L. A., & Fang, G. (2020). Opening the black box of the group-based trajectory modeling process to analyze medication adherence patterns: An example using real-world statin adherence data. Pharmacoepidemiology and Drug Safety, 29, 357-362. https://doi.org/10.1002/pds.4917
Hughes, C., Roman, G., Hart, M. J., & Ensor, R. (2013). Does maternal depression predict young children’s executive function? - A 4-year longitudinal study. Journal of Child Psychology and Psychiatry, 54, 169-177. https://doi.org/10.1111/jcpp.12014
Jakobsen, J. C., Gluud, C., Wetterslev, J., & Winkel, P. (2017). When and how should multiple imputation be used for handling missing data in randomised clinical trials - A practical guide with flowcharts. BMC Medical Research Methodology, 17(1), 162-172. https://doi.org/10.1186/s12874-017-0442-1
Jones, B. L., & Nagin, D. S. (2013). A note on a stata plugin for estimating group-based trajectory models. Sociological Methods & Research, 42, 608-613. https://doi.org/10.1177/0049124113503141
Kessler, R. C., Barker, P. R., Colpe, L. J., Epstein, J. F., Gfroerer, J. C., Hiripi, E., … Zaslavsky, A. M. (2003). Screening for serious mental illness in the general population. Archives of General Psychiatry, 60, 184-189. https://doi.org/10.1001/archpsyc.60.2.184
Ketende, S. C., & Jones, E. M. (2011). User guide to analysing MCS data using STATA (p. 32). London, UK: Centre for Longitudinal Studies.
King, K. M., Littlefield, A. K., McCabe, C. J., Mills, K. L., Flournoy, J., & Chassin, L. (2018). Longitudinal modeling in developmental neuroimaging research: Common challenges, and solutions from developmental psychology. Developmental Cognitive Neuroscience, 33, 54-72. https://doi.org/10.1016/j.dcn.2017.11.009
Korhonen, M., Luoma, I., Salmelin, R., Siirtola, A., & Puura, K. (2018). The trajectories of internalizing and externalizing problems from early childhood to adolescence and young adult outcome. Journal of Child and Adolescent Psychiatry, 2, 7-12.
Leve, L. D., Kim, H. K., & Pears, K. C. (2005). Childhood temperament and family environment as predictors of internalizing and externalizing trajectories from age 5 to age 17. Journal of Abnormal Child Psychology, 33, 505-520. https://doi.org/10.1007/s10802-005-6734-7
Logie, R. H. (2009). Visuo-Spatial Working Memory (Nachdr.). London, UK: Psychology Press.
Lui, M., & Tannock, R. (2007). Working memory and inattentive behaviour in a community sample of children. Behavioral and Brain Functions, 3(1), 12. https://doi.org/10.1186/1744-9081-3-12
Lukasik, K. M., Waris, O., Soveri, A., Lehtonen, M., & Laine, M. (2019). The relationship of anxiety and stress with working memory performance in a large non-depressed sample. Frontiers in Psychology, 10. http://dx.doi.org/10.3389/fpsyg.2019.00004
Martin, M. J., Davies, P. T., Cummings, E. M., & Cicchetti, D. (2017). The mediating roles of cortisol reactivity and executive functioning difficulties in the pathways between childhood histories of emotional insecurity and adolescent school problems. Development and Psychopathology, 29, 1483-1498. https://doi.org/10.1017/S0954579417000402
Martinussen, R., Hayden, J., Hogg-johnson, S., & Tannock, R. (2005). A meta-analysis of working memory impairments in children with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child & Adolescent Psychiatry, 44, 377-384. https://doi.org/10.1097/01.chi.0000153228.72591.73
Mesman, J., Bongers, I. L., & Koot, H. M. (2001). Preschool developmental pathways to preadolescent internalizing and externalizing problems. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 42, 679-689. https://doi.org/10.1111/1469-7610.00763
Mizoguchi, K., Yuzurihara, M., Ishige, A., Sasaki, H., Chui, D.-H., & Tabira, T. (2000). Chronic stress induces impairment of spatial working memory because of prefrontal dopaminergic dysfunction. Journal of Neuroscience, 20, 1568-1574. https://doi.org/10.1523/JNEUROSCI.20-04-01568.2000
Murphy, B. L., Arnsten, A. F., Goldman-Rakic, P. S., & Roth, R. H. (1996). Increased dopamine turnover in the prefrontal cortex impairs spatial working memory performance in rats and monkeys. Proceedings of the National Academy of Sciences, 93, 1325-1329. https://doi.org/10.1073/pnas.93.3.1325
Nagin, D. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press. https://doi.org/10.4159/9780674041318
Nivard, M. G., Lubke, G. H., Dolan, C. V., Evans, D. M., St. Pourcain, B., Munafò, M. R., & Middeldorp, C. M. (2017). Joint developmental trajectories of internalizing and externalizing disorders between childhood and adolescence. Development and Psychopathology, 29, 919-928. https://doi.org/10.1017/S0954579416000572
Nylund-Gibson, K., & Choi, A. Y. (2018). Ten frequently asked questions about latent class analysis. Translational Issues in Psychological Science, 4, 440-461. https://doi.org/10.1037/tps0000176
Oosterlaan, J., Scheres, A., & Sergeant, J. A. (2005). Which executive functioning deficits are associated with AD/HD, ODD/CD and comorbid AD/HD+ODD/CD? Journal of Abnormal Child Psychology, 33(1), 69-85. http://dx.doi.org/10.1007/s10802-005-0935-y
Robbins, T. W., James, M., Owen, A. M., Sahakian, B. J., McInnes, L., & Rabbitt, P. (1994). Cambridge Neuropsychological Test Automated Battery (CANTAB): A factor analytic study of a large sample of normal elderly volunteers. Dementia, 5, 266-281. https://doi.org/10.1159/000106735
Royston, P. (2004). Multiple imputation of missing values. The Stata Journal, 4, 227-241. https://doi.org/10.1177/1536867X0400400301
Ruttle, P. L., Shirtcliff, E. A., Serbin, L. A., Ben-Dat Fisher, D., Stack, D. M., & Schwartzman, A. E. (2011). Disentangling psychobiological mechanisms underlying internalizing and externalizing behaviors in youth: Longitudinal and concurrent associations with cortisol. Hormones and Behavior, 59(1), 123-132. https://doi.org/10.1016/j.yhbeh.2010.10.015
Saarinen, S., Fontell, T., Vuontela, V., Carlson, S., & Aronen, E. T. (2015). Visuospatial working memory in 7- to 12-year-old children with disruptive behavior disorders. Child Psychiatry & Human Development, 46(1), 34-43. https://doi.org/10.1007/s10578-014-0449-3
Schoemaker, K., Mulder, H., Deković, M., & Matthys, W. (2013). Executive functions in preschool children with externalizing behavior problems: A meta-analysis. Journal of Abnormal Child Psychology, 41, 457-471. https://doi.org/10.1007/s10802-012-9684-x
Shackman, A. J., Sarinopoulos, I., Maxwell, J. S., Pizzagalli, D. A., Lavric, A., & Davidson, R. J. (2006). Anxiety selectively disrupts visuospatial working memory. Emotion, 6(1), 40-61. https://doi.org/10.1037/1528-3542.6.1.40
Soltanlou, M., Artemenko, C., Dresler, T., Fallgatter, A. J., Ehlis, A.-C., & Nuerk, H.-C. (2019). Math anxiety in combination with low visuospatial memory impairs math learning in children. Frontiers in Psychology, 10, 89. https://doi.org/10.1016/j.nlm.2004.06.010
Taverniers, J., Ruysseveldt, J. V., Smeets, T., & von Grumbkow, J. (2010). High-intensity stress elicits robust cortisol increases, and impairs working memory and visuo-spatial declarative memory in special forces candidates: A field experiment. Stress, 13, 324-334. https://doi.org/10.3109/10253891003642394
Thorell, L. B. & Wåhlstedt, C. (2006). Executive functioning deficits in relation to symptoms of ADHD and/or ODD in preschool children. Infant and Child Development, 15, 503-518. http://dx.doi.org/10.1002/icd.475
Voyer, D., Voyer, S. D., & Saint-Aubin, J. (2017). Sex differences in visual-spatial working memory: A meta-analysis. Psychonomic Bulletin & Review, 24, 307-334. https://doi.org/10.3758/s13423-016-1085-7
Willcutt, E. G., Doyle, A. E., Nigg, J. T., Faraone, S. V., & Pennington, B. F. (2005). Validity of the executive function theory of attention-deficit/hyperactivity disorder: A meta-analytic review. Biological Psychiatry, 57, 1336-1346. https://doi.org/10.1016/j.biopsych.2005.02.006
Zahrt, J., Taylor, J. R., Mathew, R. G., & Arnsten, A. F. T. (1997). Supranormal stimulation of D1 dopamine receptors in the rodent prefrontal cortex impairs spatial working memory performance. Journal of Neuroscience, 17, 8528-8535. https://doi.org/10.1523/JNEUROSCI.17-21-08528.1997

Auteurs

Ye Kuang (Y)

Department of Psychology and Human Development, UCL Institute of Education, University College London, UK.

Eirini Flouri (E)

Department of Psychology and Human Development, UCL Institute of Education, University College London, UK.

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